GPU-Accelerated Massively Parallel Computation of Electromagnetic Scattering of a Time-Evolving Oceanic Surface Model I: Time-Evolving Oceanic Surface Generation
| Autor: | Longxiang Linghu, Min Shi, Zhensen Wu, Bormin Huang, Jiaji Wu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Atmospheric Science
Speedup Scattering Computer science CPU cache 0211 other engineering and technologies 02 engineering and technology computer.software_genre 020202 computer hardware & architecture Computational science Shared memory Surface wave 0202 electrical engineering electronic engineering information engineering Compiler Computers in Earth Sciences Graphics computer ComputingMethodologies_COMPUTERGRAPHICS 021101 geological & geomatics engineering Curse of dimensionality |
| Zdroj: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11:2752-2762 |
| ISSN: | 2151-1535 1939-1404 |
| Popis: | The development of a time-evolving oceanic surface model (TOSM) is important for the accuracy of determining electromagnetic scattering properties from the sea surface in oceanic remote sensing, target detection, and synthetic aperture radar imagery at arbitrary incident angles, especially small grazing angles. The double superimposition model (DSM) is a well-known approach for TOSM, which is composed of large-scale gravity waves and small-scale capillary ripples superimposed on them. However, due to the real-time dynamic complexity and dimensionality of the TOSM, the traditional DSM algorithm may be very time consuming and hardly meet the real-time requirements. In this paper, the feasibility of using graphics processing units (GPUs) with diverse compute unified device architecture optimization techniques to increase the speed of the generation of the TOSM is investigated. The entirely GPU-based TOSM implemented in this study includes the most effective use of temporary arrays, fast-math compiler options, shared memory, more L1 cache use than shared memory, and page-locked host memory. With respect to single-threaded C programs running on Intel(R) Core(TM) i7-2600K CPU, optimization on the GPU-based generated TOSM can achieve a speedup of $791 \times $ by using a single NVIDIA Tesla K80 GPU model. This new GPU-based TOSM implemented shows great potential for studying the scattering characteristics of electromagnetic backscattered echoes from dynamic sea surfacess. |
| Databáze: | OpenAIRE |
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